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Xingfang Xiao,Lipei Ren,Shujun Wang,Qian Zhang,Yawei Zhang,Ruina Liu,Weilin Xu 한국섬유공학회 2020 Fibers and polymers Vol.21 No.9
Luminescent lanthanide metal-organic frameworks (ln-MOFs) is a promising materials for sensing. However,seeking ideal method to scale up in mass production and can be uniform on flexible substrate is still a great challenge. In thisstudy, a novel and efficient process was employed for the fabrication of flexible and environmental copper ion-sensingmaterials using cotton fabric as a substrate. The micro-nanoscale Europium metal-organic frameworks (Eu-MOFs) wasprepared through adding blocking reagent, and then cotton fabric was coated with the Eu-MOFs by hot pressing. The resultsshow that controllable dense micro-nanoscale Eu-MOFs film was coated on the cotton fabric with different dipping and hotpressing times. The method is fast, simple, low-cost and suitable for production. The Eu-MOFs coated cotton fabric exhibitsgood photoluminescent properties. The selective sensing ability of Eu-MOFs coated fabric for Cu2+ over many other metalions (K+, Cd2+, Ca2+, Pb2+, Na+, Zn2+, Ni2+, Mg2+, Al3+ and Co2+) is verified by emission spectra, and by the fact that thefluorescence intensity of the fabric significantly decreased with an increase in the concentration of Cu2+ (10-6-10-1 mol/L). This method provides a new path for the controllable production of MOFs-coated functional textiles for differentapplications, such as anti-counterfeiting, UV-protection, superhydrophobic, and sensing materials in the textile industry.
Maximal United Utility Degree Model for Fund Distributing in Higher School
Xingfang Zhang,Guangwu Meng 대한산업공학회 2013 Industrial Engineeering & Management Systems Vol.12 No.1
The paper discusses the problem of how to allocate the fund to a large number of individuals in a higher school so as to bring a higher utility return based on the theory of uncertain set. Suppose that experts can assign each invested individual a corresponding nondecreasing membership function on a close interval I according to its actual level and developmental foreground. The membership degree at the fund x ∈ I is called utility degree from fund x, and product (minimum) of utility degrees of distributed funds for all invested individuals is called united utility degree from the fund. Based on the above concepts, we present an uncertain optimization model, called Maximal United Utility Degree (or Maximal Membership Degree) model for fund distribution. Furthermore, we use nondecreasing polygonal functions defined on close intervals to structure a mathematical maximal united utility degree model. Finally, we design a genetic algorithm to solve these models.
Maximal United Utility Degree Model for Fund Distributing in Higher School
Zhang, Xingfang,Meng, Guangwu Korean Institute of Industrial Engineers 2013 Industrial Engineeering & Management Systems Vol.12 No.1
The paper discusses the problem of how to allocate the fund to a large number of individuals in a higher school so as to bring a higher utility return based on the theory of uncertain set. Suppose that experts can assign each invested individual a corresponding nondecreasing membership function on a close interval I according to its actual level and developmental foreground. The membership degree at the fund $x{\in}I$ is called utility degree from fund x, and product (minimum) of utility degrees of distributed funds for all invested individuals is called united utility degree from the fund. Based on the above concepts, we present an uncertain optimization model, called Maximal United Utility Degree (or Maximal Membership Degree) model for fund distribution. Furthermore, we use nondecreasing polygonal functions defined on close intervals to structure a mathematical maximal united utility degree model. Finally, we design a genetic algorithm to solve these models.
TRIPLE SOLUTIONS FOR THREE-ORDER PERIODIC BOUNDARY VALUE PROBLEMS WITH SIGN CHANGING NONLINEARITY
Huixuan Tan,Hanying Feng,Xingfang Feng,Yatao Du 한국전산응용수학회 2014 Journal of applied mathematics & informatics Vol.32 No.1
In this paper, we consider the periodic boundary value problem with sign changing nonlinearity u′′′+ ρ³u = ∫(t,u), t∈2 [0,2π], subject to the boundary value conditions: u(i)(0) = u(i)(2π), i = 0,1,2, where ρ∈(0, 1/√3) is a positive constant and f(t,u) is a continuous function. Using Leggett-Williams fixed point theorem, we provide sufficient conditions for the existence of at least three positive solutions to the above boundary value problem. The interesting point is the nonlinear term f may change sign.
Screening of Methylation Gene Sites as Prognostic Signature in Lung Adenocarcinoma
Min Dong,Zengli Yang,Xingfang Li,Zhenxiang Zhang,Ankang Yin 연세대학교의과대학 2020 Yonsei medical journal Vol.61 No.12
Purpose: Most lung adenocarcinoma (LUAD) patients are diagnosed at the advanced stage and have poor prognosis. DNA methylationplays an important role in the prognosis prediction of cancers. The objective of this study was to identify new DNA methylationsites as biomarkers for LUAD prognosis. Materials and Methods: We downloaded DNA methylation data from The Cancer Genome Atlas data portal. Cox proportionalhazard regression model and random survival forest algorithm were applied to identify the DNA-methylation sites. Methylationof sites were validated in the Gene Expression Omnibus cohorts. Function annotation were done to explore the biological functionof DNA methylated sites signature. Results: Six DNA methylation sites were identified as prognosis signature. The signature yielded acceptable discrimination betweenthe high-risk group and low-risk group. The discrimination effect of this DNA methylation signature for the OS was obvious,with a median OS of 21.89 months vs. 17.74 months for high-risk vs. low-risk groups. This prognostic prediction model wasvalidated by the test group and GEO dataset. The predictive survival value was higher for the prognostic prediction model thanthat for the tumor node metastasis stage. Adjuvant hemotherapy could not affect the prediction of the signature. Functional analysisindicated that these signature genes were involved in protein binding and cytoplasm. Conclusion: We identified the prognostic signature for LUAD by combining six DNA methylation sites. This could service as potentialrobust and specificity signature in the prognosis prediction of LUAD.
TRIPLE SOLUTIONS FOR THREE-ORDER PERIODIC BOUNDARY VALUE PROBLEMS WITH SIGN CHANGING NONLINEARITY
Tan, Huixuan,Feng, Hanying,Feng, Xingfang,Du, Yatao The Korean Society for Computational and Applied M 2014 Journal of applied mathematics & informatics Vol.32 No.1
In this paper, we consider the periodic boundary value problem with sign changing nonlinearity $$u^{{\prime}{\prime}{\prime}}+{\rho}^3u=f(t,u),\;t{\in}[0,2{\pi}]$$, subject to the boundary value conditions: $$u^{(i)}(0)=u^{(i)}(2{\pi}),\;i=0,1,2$$, where ${\rho}{\in}(o,{\frac{1}{\sqrt{3}}})$ is a positive constant and f(t, u) is a continuous function. Using Leggett-Williams fixed point theorem, we provide sufficient conditions for the existence of at least three positive solutions to the above boundary value problem. The interesting point is the nonlinear term f may change sign.
The genome of the cucumber, Cucumis sativus L.
Huang, Sanwen,Li, Ruiqiang,Zhang, Zhonghua,Li, Li,Gu, Xingfang,Fan, Wei,Lucas, William J,Wang, Xiaowu,Xie, Bingyan,Ni, Peixiang,Ren, Yuanyuan,Zhu, Hongmei,Li, Jun,Lin, Kui,Jin, Weiwei,Fei, Zhangjun,Li Nature Publishing Group 2009 Nature genetics Vol.41 No.12
Cucumber is an economically important crop as well as a model system for sex determination studies and plant vascular biology. Here we report the draft genome sequence of Cucumis sativus var. sativus L., assembled using a novel combination of traditional Sanger and next-generation Illumina GA sequencing technologies to obtain 72.2-fold genome coverage. The absence of recent whole-genome duplication, along with the presence of few tandem duplications, explains the small number of genes in the cucumber. Our study establishes that five of the cucumber's seven chromosomes arose from fusions of ten ancestral chromosomes after divergence from Cucumis melo. The sequenced cucumber genome affords insight into traits such as its sex expression, disease resistance, biosynthesis of cucurbitacin and 'fresh green' odor. We also identify 686 gene clusters related to phloem function. The cucumber genome provides a valuable resource for developing elite cultivars and for studying the evolution and function of the plant vascular system.